Data Science for Social Scientists

Learn methods for analyzing data to answer questions of social, economic, and policy interest.

This repository contains material related to Udemy's Data Science for Social Scientists course. This is a project based course divided into four modules.

• Exploratory data analysis
• Data visualization
• Regression analysis
• Hypothesis testing

Table of Contents

Tutorials

Exploratory data analysis

• Learn how to analyse a given a dataset to understand ...

Data visualization

• Learn how to visualize ...

Regression analysis

• Is there a correlation between the various variables in our dataset

Hypothesis testing

• Causation != Correlation

Setting up your environment

Configure and Manage Your Environment with Anaconda

In the course, we'll use Conda - an open source package management system to set up our work environment. As per the official conda documentation,

Conda is an open source package management system and environment management system that runs on Windows, macOS, and Linux. Conda quickly installs, runs and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs but it can package and distribute software for any language.

Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.

Source: Anaconda docs